Joshua Xu Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

National Center for Toxicological Research

faculty

31 h-index 198 pubs 5,749 cited

Research Areas

Cancer Genomics and Diagnostics Molecular Biology Techniques and Applications Bioinformatics and Genomic Networks Pharmacological Effects and Toxicity Studies Genomics and Chromatin Dynamics Metabolomics and Mass Spectrometry Studies AI in cancer detection

Links

ORCID Lab Website

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OverviewAI-generated summary

Joshua Xu's research focuses on the development and evaluation of analytical methods for genomic and multi-omic data, with applications in precision oncology and toxicology. His work addresses challenges in data quality, batch effect correction, and the accurate detection of genomic variants. Xu has investigated the analytical validity of circulating tumor DNA sequencing assays and developed ratio-based quantitative profiling methods using reference materials to improve the quality of transcriptomic and multi-omics data.

His research also extends to the application of machine learning in predictive toxicology, exploring the trade-offs between predictivity and explainability using datasets from initiatives like Tox21. Xu has contributed to the establishment of genomic reference samples for assessing the performance of cancer panels designed to detect small variants of low allele frequency. His work has been published in numerous peer-reviewed journals, and he has a significant publication and citation record, indicated by an h-index of 31 and over 5,700 citations. He has maintained active collaborations with researchers at the National Center for Toxicological Research, including Leihong Wu, Weida Tong, and Binsheng Gong, as well as Donald J. Johann from the University of Arkansas for Medical Sciences.

Metrics

  • h-index: 31
  • Publications: 198
  • Citations: 5,749

Selected Publications

  • Leveraging FDA Labeling Documents and Large Language Model to Enhance Annotation, Profiling, and Classification of Drug Adverse Events with AskFDALabel (2025) DOI
  • Enhancing pharmacogenomic data accessibility and drug safety with large language models: a case study with Llama3.1 (2024) DOI
  • Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing (2024) DOI
  • Description and Validation of a Novel AI Tool, LabelComp, for the Identification of Adverse Event Changes in FDA Labeling (2024) DOI
  • Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study (2024) DOI
  • Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost (2024) DOI
  • PERform: assessing model performance with predictivity and explainability readiness formula (2024) DOI
  • Towards accurate indel calling for oncopanel sequencing through an international pipeline competition at precisionFDA (2024) DOI
  • A framework enabling LLMs into regulatory environment for transparency and trustworthiness and its application to drug labeling document (2024) DOI
  • Extend the benchmarking indel set by manual review using the individual cell line sequencing data from the Sequencing Quality Control 2 (SEQC2) project (2024) DOI
  • RxBERT: Enhancing drug labeling text mining and analysis with AI language modeling (2023) DOI
  • Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science (2023) DOI
  • Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance (2023) DOI
  • Author Correction: Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling (2023) DOI
  • Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling (2023) DOI

Collaborators

Researchers in the database who share publications

Leihong Wu National Center for Toxicological Research 17 shared publications Weida Tong National Center for Toxicological Research 14 shared publications Binsheng Gong National Center for Toxicological Research 11 shared publications Donald J. Johann University of Arkansas for Medical Sciences 7 shared publications Magnus Gray National Center for Toxicological Research 4 shared publications Barbara L. Parsons National Center for Toxicological Research 3 shared publications Dan Li National Center for Toxicological Research 3 shared publications Mary Qu Yang University of Arkansas at Little Rock 3 shared publications

Similar Researchers

Based on overlapping research topics

Barbara L. Parsons National Center for Toxicological Research
Cancer Genomics and Diagnostics Molecular Biology Techniques and Applications Bioinformatics and Genomic Networks
Good match 4 shared topics
Meagan B. Myers National Center for Toxicological Research
Cancer Genomics and Diagnostics Molecular Biology Techniques and Applications Bioinformatics and Genomic Networks
Good match 4 shared topics
Robert H. Heflich National Center for Toxicological Research
Cancer Genomics and Diagnostics Molecular Biology Techniques and Applications Bioinformatics and Genomic Networks
Good match 4 shared topics
Ikjae Shin University of Arkansas for Medical Sciences
Cancer Genomics and Diagnostics Molecular Biology Techniques and Applications Bioinformatics and Genomic Networks
Good match 4 shared topics
Leihong Wu National Center for Toxicological Research
Cancer Genomics and Diagnostics Bioinformatics and Genomic Networks Pharmacological Effects and Toxicity Studies
Good match 4 shared topics
Penelope Duerken-Hughes National Center for Toxicological Research
Cancer Genomics and Diagnostics Molecular Biology Techniques and Applications Bioinformatics and Genomic Networks
Good match 3 shared topics